AI Automation Engineering - Security Operations

Job Description

Job Description

AI Automation Engineering - Security Operations
Remote within EST

115,000 – 123,000/yr W2

Position Overview
We are seeking an experienced AI Automation Engineer to help transform and scale security operations through AI-driven automation, intelligent workflows, and enterprise-grade software solutions. This role will support a large Cyber Security Operations Center (CSOC) environment focused on improving incident response efficiency, reducing false positives, and enabling security analysts to focus on high-value investigative and response activities.
This is a highly visible, hands-on engineering role that combines software development, AI implementation, automation, cloud technologies, and solution architecture. The ideal candidate will work directly with cybersecurity leaders, technical stakeholders, and engineering teams to design, build, and deploy AI-powered capabilities that enhance security operations across the enterprise.
This is an end-to-end ownership role where you'll help define requirements, make architectural recommendations, develop solutions, and guide implementations from concept through production.
Key Responsibilities

• Design, develop, and implement AI-driven solutions that improve cybersecurity operations and incident response workflows.
• Build intelligent automation capabilities that reduce manual effort and increase operational efficiency across security teams.
• Develop AI agents, software applications, workflows, and integrations to support security operations use cases.
• Partner with CSOC leadership and technical stakeholders to gather requirements and identify opportunities for automation.
• Participate in architecture discussions and help define scalable enterprise solutions.
• Design and implement integrations utilizing APIs, cloud services, databases, and security platforms.
• Develop and maintain Python-based applications, automation frameworks, and backend services.
• Utilize AWS services and AI platforms to build secure, scalable solutions.
• Work within GitHub-based development environments and CI/CD workflows.
• Create technical designs, implementation plans, and architectural documentation.
• Collaborate within cross-functional PODs consisting of project managers, subject matter experts, and technical teams.
• Evaluate emerging AI technologies and recommend solutions that align with business and security objectives.
• Support deployment, monitoring, enhancement, and ongoing maintenance of implemented solutions.
• Contribute to enterprise-wide AI adoption and automation initiatives.

Required Qualifications

• 8+ years of software engineering, automation engineering, cybersecurity engineering, or related experience.
• Strong Python development experience with the ability to build, read, troubleshoot, and enhance production code.
• Experience developing enterprise applications, automation frameworks, or platform integrations.
• Strong understanding of REST APIs and API integration patterns.
• Experience working within GitHub-based development environments and source control best practices.
• Experience working with SQL and relational databases.
• Understanding of cloud technologies and services, particularly AWS.
• Experience with AWS services such as:
  • IAM
  • S3
  • Cloud-based application services
  • Security and access management concepts
• Strong systems-thinking and architectural mindset.
• Ability to translate business requirements into scalable technical solutions.
• Excellent communication and stakeholder management skills.
• Experience owning projects from requirements gathering through implementation and production support.

Preferred Qualifications

• Experience building AI-powered applications, agents, copilots, or automation platforms.
• Experience implementing Generative AI solutions in production environments.
• Familiarity with AWS Bedrock and Large Language Model (LLM) frameworks.
• Experience working with AI tools such as:
  • Amazon Bedrock
  • Claude
  • OpenCode
  • Similar AI development platforms
• Experience supporting cybersecurity or security operations environments.
• Exposure to machine learning, natural language processing, or AI/ML technologies.
• Experience with Databricks and Snowflake.
• Knowledge of enterprise security operations workflows and incident response processes.
• Experience designing scalable enterprise automation solutions.

Desired Skills

• Strong problem-solving and analytical capabilities.
• Ability to learn new technologies and frameworks quickly.
• Comfortable working in ambiguous environments and defining solutions from the ground up.
• Strong collaboration and consulting skills.
• Ability to influence technical direction and architectural decisions.
• Self-starter with a passion for automation and innovation.
• Strong attention to detail and commitment to engineering excellence.

Top Priority Requirements

1. Strong Python development experience.
2. SQL proficiency.
3. Experience working with GitHub ecosystems and REST APIs.
4. AWS experience, including services such as IAM and S3.
5. Enterprise software development and automation experience.
6. Ability to contribute to AI solution architecture and implementation.

Preferred Backgrounds

• Software Engineering
• Cybersecurity Engineering
• Security Operations (SOC/CSOC)
• Information Security
• Computer Science
• AI/Automation Engineering

Work Environment

• Fully remote opportunity.
• Must be able to support Eastern Time business hours.
• Collaborate closely with cybersecurity leaders, engineers, architects, project managers, and subject matter experts.
• Opportunity to work on enterprise-scale initiatives impacting a large security operations environment.

Ideal Candidate
The ideal candidate is a senior software engineer or AI practitioner with strong Python development skills, cloud experience, and a passion for automation. They have the technical depth to build AI-powered solutions, the architectural mindset to design scalable systems, and the communication skills to work directly with business and technical stakeholders. Experience building AI agents, leveraging AWS Bedrock, and implementing enterprise automation solutions within cybersecurity or operational environments is highly desirable.

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